For one of my projects, I needed to choose an LLM but got lost in numbers and tokenization. So I searched for a solution which could help me do the math, but only found tools that helped with cost management and optimization at the production stage. I did some research and found that this is an existing problem, especially if you are a vibe-coder or solo developer starting an AI-powered app from scratch.

So I built an MVP to test with you guys — if any of you relate to the problem, please tell me what works and what's missing. Already included retries, prompt caching, batch discounts, and 3×/10× growth scenarios across 6 models (GPT-4o, Claude, Gemini, DeepSeek and more). Also the app models full architecture, the user just needs to pick an app type and set the usage pattern.